Unsupervised feature extraction of anterior chamber OCT images for ordering and classification

We propose an image processing method for ordering anterior chamber optical coherence tomography (OCT) images in a fully unsupervised manner. The method consists of three steps: Firstly we preprocess the images (filtering the noise, aligning and normalizing the resolution); secondly, a distance meas...

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Detalles Bibliográficos
Autores principales: Amil, Pablo, González, Laura, Arrondo, Elena, Salinas, Cecilia, Guell, J. L., Masoller, Cristina, Parlitz, Ulrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362085/
https://www.ncbi.nlm.nih.gov/pubmed/30718688
http://dx.doi.org/10.1038/s41598-018-38136-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362085/
https://www.ncbi.nlm.nih.gov/pubmed/30718688
http://dx.doi.org/10.1038/s41598-018-38136-8

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